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Table 3 Comparison of the performance of CysPresso and UniRep-RF at predicting expressibility of CDPs from primary sequence

From: CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides

Measure

CysPresso

UniRep-RF

AUC

0.816

0.760

Sensitivity

0.818

0.786

Specificity

0.672

0.594

Precision

0.755

0.705

Accuracy

0.753

0.700

F1 Score

0.785

0.743

  1. The performance of CysPresso and UniRep-RF [27] were evaluated by leave-one-out cross-validation
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BMC Bioinformatics

ISSN: 1471-2105

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